Instructions to use dilip025/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dilip025/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dilip025/dummy-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dilip025/dummy-model") model = AutoModelForMaskedLM.from_pretrained("dilip025/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download satori_tienie_checkpoints/step_lightning_5200.pt from dilip025/dummy-model: direct link, hf CLI and curl.
- Browser
- Download file 2.26 GB
-
https://huggingface.co/dilip025/dummy-model/resolve/57d1502d2d14cc46378e657659b8f137bae8a8d0/satori_tienie_checkpoints/step_lightning_5200.pt
- Command line
-
hf download hf://dilip025/dummy-model@57d1502d2d14cc46378e657659b8f137bae8a8d0/satori_tienie_checkpoints/step_lightning_5200.pt
-
curl -L -o step_lightning_5200.pt https://huggingface.co/dilip025/dummy-model/resolve/57d1502d2d14cc46378e657659b8f137bae8a8d0/satori_tienie_checkpoints/step_lightning_5200.pt
2.26 GB
- Xet hash:
- e42eeee11283aa2f4b7583cbd33642a0d41e8d3b19aec82d16f10449a65e0e1e
- Size of remote file:
- 2.26 GB
- SHA256:
- 2e3cf0aa316321b709ea899546476cdcb5127eab289ba4daefa5940d5bfa8581
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